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Modelling SDMX Referential Metadata for data dissemination and reporting

In this course you will learn about modelling SDMX Referential Metadata for data dissemination and reporting.

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Overview

COURSE DESCRIPTION

The course, Modelling SDMX Referential Metadata for data dissemination and reporting, is designed for Data Producers (Methodology adviser, Statistical Assistant, Statistician, Data Reporter…) to support the modelling of referential metadata for the purpose of data reporting and also that are suitable for disseminating, for example in the .Stat Data Explorer.

LEARNING OUTCOMES

  • Understanding how SDMX drives the .Stat Data Explorer.
  • Understanding how metadata is driving the data processes.
  • Understanding the navigation flow and data architecture.
  • Understanding how SDMX annotations are driving the data display.
  • Understanding how to best use the global Data Structure Definitions for dissemination purposes.
  • A few tips and ticks for applying data modelling best practices.

 
In each module you will be asked a few questions to help you remember the contents and reinforce your understanding.

CERTIFICATION

Upon completing this course you will receive a certificate of completion.

Curriculum

Reviews

Take your data management skills to the next level with the newly launched “Creating and Applying Mappings for the .Stat Suite” course.

Designed for data professionals across the SDMX community, this course provides the foundation you need to leverage mappings for seamless data integration and improved workflows.

In this course you will:

  • Understand the main scenarios for using mappings.
  • Describe how mappings are managed in SDMX.
  • Use Fusion Metadata Registry to manage SDMX mappings between two structures with different dimensionality and/or code list representation.
  • Apply mappings to data files using Fusion Metadata Registry and upload mapped data files to the .Stat Suite.